BSc CSIT (TU) Science Simulation and Modelling (BSc CSIT, CSC317) Question Paper 2081
This is the official BSc CSIT (TU) (Science stream) Simulation and Modelling (BSc CSIT, CSC317) question paper for 2081, as set in the regular annual examination. It carries 60 full marks and a time allowance of 180 minutes, across 12 questions. On Kekkei you can attempt this Simulation and Modelling (BSc CSIT, CSC317) past paper online with a timer, get instant AI feedback and step-by-step solutions, and track the topics where you lose marks — completely free. Whether you are revising for your BSc CSIT (TU) Simulation and Modelling (BSc CSIT, CSC317) exam or solving previous years' question papers, this 2081 paper is a great way to practise under real exam conditions.
Section A: Long Answer Questions
Attempt any TWO questions.
Explain model verification and validation. Describe the three-step approach for developing valid and credible simulation models.
Define system, model and simulation. Explain the different types of models and discuss the advantages and disadvantages of simulation.
Explain the characteristics and structure of a basic queuing system. Discuss the various performance measures of a single-server (M/M/1) queuing system.
Section B: Short Answer Questions
Attempt any EIGHT questions.
Explain the features of a general-purpose simulation language (e.g., GPSS).
Explain the chi-square test for testing the uniformity of random numbers with an example.
Explain the classification of models: static vs dynamic, deterministic vs stochastic, continuous vs discrete.
Explain the tests for randomness. Describe the frequency (Kolmogorov-Smirnov) test and the runs test.
Explain the basic properties of random numbers: uniformity and independence.
Explain the inverse transform technique for generating random variates from the exponential distribution.
Explain Kendall's notation for queuing systems with examples.
What is a simulation clock? Differentiate between fixed-increment and next-event time-advance mechanisms.
Explain Markov chains and their application in simulation with an example.